An introduction to the collection, analysis, interpretation, and presentation of quantitative data as used to understand problems in economics and sociology. Using examples drawn from these fields, this course focuses on basic concepts in probability and statistics, such as measures of central tendency and dispersion, hypothesis testing, and parameter estimation. Data analysis exercises are drawn from both academic and everyday applications.

Application of statistical methods to economic problems. Emphasis will be placed on regression analysis that can be used to examine the relationship between two or more variables. Issues involved in estimation, including goodness-of-fit, statistical inference, dummy variables, heteroskedasticity, serial correlation, and others will be considered. Emphasis will be placed on real-world applications.

This course uses economic analysis to evaluate important social policy issues in the U.S., focusing on the role of government in shaping social policy and its impact on individuals. Does welfare make people work less or have more children? Why is the teenage birthrate so high and how might it be lowered? How do fertility patterns respond to changes in abortion policy? Theoretical models and econometric evidence will be used to investigate these and other issues.